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Paper Citation Record · LEDGER

Can Multimodal Large Language Models Understand Spatial Relations?

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.19015.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.19015 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:26:06.713886Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 09564187-549e-4c2d-84e4-0eef8ac830b1 · inbound

Spatial-aware Vision Language Model for Autonomous Driving cites this paper.

Spatial-aware Vision Language Model for Autonomous Driving Can Multimodal Large Language Models Understand Spatial Relations?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T13:26:06.713886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:26:06.713886Z digest=sha256:c0579ed1bf1111177b6993ee346b1efb2f294c185fcb79d9f6487d1917ba031c

Observation e795f2a0-0f3f-4d36-9c85-8229c6859310 · inbound

AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation cites this paper.

AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation Can Multimodal Large Language Models Understand Spatial Relations?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T12:25:50.226593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:25:50.226593Z digest=sha256:667a5999ac736640ea09946931e271fde6bf7e1785b99f949806590e9846c0bd